Researchers may have found a way to solve the weakness of a type of light source similar to lasers. The alternative light source could lead to smaller, lower-cost, and more efficient sources of light pulses.

Although critical for varied applications, such as cutting and welding, surgery and transmitting bits through optical fiber, lasers have some limitations—namely, they only produce light in limited wavelength ranges.

Now, researchers have modified similar light sources, called optical parametric oscillators, to overcome this obstacle.

Until now, these lesser-known light sources have been mostly confined to the lab because their setup leaves little room for error—even a minor jostle could knock one out of alignment.

Much of the push toward self-driving cars has been underwritten by the hope that they will save lives by getting involved in fewer crashes with fewer injuries and deaths than human-driven cars. But so far, most comparisons between human drivers and automated vehicles have been at best uneven, and at worst, unfair.

But to me, as a human factors researcher, that’s not enough information to properly evaluate whether automation may actually be better than humans at not crashing. Their respective crash rates can only be determined by also knowing how many non-collisions happen. For human drivers is it one collision per billion chances to crash, or one in a trillion?

Assessing the rate at which things do not happen is extremely difficult. For example, estimating how many times you didn’t bump into someone in the hall today relates to how many people there were in the hallway and how long you were walking there. Also, people forget non-events very quickly, if we even notice them happening. To determine whether automated vehicles are safer than humans, researchers will need to establish a non-collision rate for both humans and these emerging driverless vehicles.

Light sources that reliably convert electrical to optical signals are of fundamental importance to information processing technologies. Energy-efficient and high-speed LEDs that can be integrated onto a microchip and transmit information are one of the key elements in enabling high volume data communication.

Two-dimensional (2D) semiconductors, graphene-like, atomically thin materials, have recently attracted significant interest due to their size (just a few atoms thick), well-defined light emission properties, and their prospects for on-chip integration. While, in recent years, researchers have succeeded in fabricating LEDs based on these materials, realizing efficient light emission has remained a challenge.

An efficient LED device converts most of its electrical power input into light emission (i.e., with minimal losses due to conversion into other forms of energy such as heat). Previous studies on LEDs based on 2D semiconductors reported that a large amount of electrical current is needed to trigger light emission. This means that a substantial fraction of the input electrical power is dissipated as heat instead of generating light.

Incorporating organic electronic materials in the field of bioelectronics has indicated promising potential in interfacing with biological systems, including neuroscience applications. Researchers from Linköping University are taking a major step forward in that work with their development of the world’s first complementary electrochemical logic circuits that can function for long periods of time in water.

While the first printable organic electrochemical sensors appeared as early as 2002, significant advancements have developed in a few years. Organic components such as light-emitting diodes and electrochemical displays are already commercially available.

This from Linköping University:

The dominating material used until now has been PEDOT:PSS, which is a p-type material, in which the charge carriers are holes. In order to construct effective electron components, a complementary material, n-type, is required, in which the charge carriers are electrons.

Adding a little ultrathin hexagonal boron nitride to ceramics could give them outstanding properties, according to new research.

Rouzbeh Shahsavari, an assistant professor of civil and environmental engineering at Rice University, suggests the incorporation of ultrathin hBN sheets between layers of calcium-silicates would make an interesting bilayer crystal with multifunctional properties.

These could be suitable for construction and refractory materials and applications in the nuclear industry, oil and gas, aerospace, and other areas that require high-performance composites.

Combining the materials would make a ceramic that’s not only tough and durable but resistant to heat and radiation. By Shahsavari’s calculations, calcium-silicates with inserted layers of two-dimensional hBN could be hardened enough to serve as shielding in nuclear applications like power plants.

Researchers have found an explanation for why a certain class of quantum dots shines with such incredibly bright colors.

The nanocrystals in question contain caesium lead halide compounds arranged in a perovskite lattice structure. Three years ago, Maksym Kovalenko, a professor at ETH Zurich and the Swiss Federal Laboratories for Materials Science and Technology (Empa), succeeded in creating nanocrystals from the same semiconductor material.

“These tiny crystals have proved to be extremely bright and fast emitting light sources, brighter and faster than any other type of quantum dot studied so far,” says Kovalenko.

By varying the composition of the chemical elements and the size of the nanoparticles, Kovalenko also produced a variety of nanocrystals that light up with the colors of the entire visible spectrum. These quantum dots could be used as components for future light-emitting diodes (LEDs) and displays.

Sensors on tape that attach to plants yield new kinds of data about water use for researchers and farmers.

“With a tool like this, we can begin to breed plants that are more efficient in using water,” says Patrick Schnable, plant scientist at Iowa State University. “That’s exciting. We couldn’t do this before. But, once we can measure something, we can begin to understand it.”

The tool making these water measurements possible is a tiny graphene sensor that can be taped to plants—researchers call it a “plant tattoo sensor.” Graphene is an atom-thick carbon honeycomb. It’s great at conducting electricity and heat, and is strong and stable. The graphene-on-tape technology in this study has also gone into wearable strain and pressure sensors, including sensors for a “smart glove” that measures hand movements.

In early November, a self-driving shuttle and a delivery truck collided in Las Vegas. The event, in which no one was injured and no property was seriously damaged, attracted media and public attention in part because one of the vehicles was driving itself – and because that shuttle had been operating for only less than an hour before the crash.

In Las Vegas, the self-driving shuttle noticed a truck up ahead was backing up, and stopped and waited for it to get out of the shuttle’s way. But the human truck driver didn’t see the shuttle, and kept backing up. As the truck got closer, the shuttle didn’t move – forward or back – so the truck grazed the shuttle’s front bumper.

As a researcher working on autonomous systems for the past decade, I find that this event raises a number of questions: Why didn’t the shuttle honk, or back up to avoid the approaching truck? Was stopping and not moving the safest procedure? If self-driving cars are to make the roads safer, the bigger question is: What should these vehicles do to reduce mishaps? In my lab, we are developing self-driving cars and shuttles. We’d like to solve the underlying safety challenge: Even when autonomous vehicles are doing everything they’re supposed to, the drivers of nearby cars and trucks are still flawed, error-prone humans.

These solutions aren’t enough: It’s impractical to put up physical barriers everywhere, and all but impossible to prevent would-be attackers from getting a vehicle. As a researcher of technologies for self-driving vehicles, I see that potential solutions already exist, and are built into many vehicles on the road today. There are, however, ethical questions to weigh about who should control the vehicle – the driver behind the wheel or the computer system that perceives potential danger in the human’s actions.

Engineers have developed a flexible sensor “skin” that can stretch over any part of a robot’s body or prosthetic to accurately convey information about shear forces and vibration—information critical to grasping and manipulating objects.

If a robot sets out to disable a roadside bomb—or delicately handle an egg while cooking you an omelet—it needs to be able to sense when objects are slipping out of its grasp. Yet, to date, it’s been difficult or impossible for most robotic and prosthetic hands to accurately sense the vibrations and shear forces that occur, for example, when a finger is sliding along a tabletop or when an object begins to fall.

To solve that issue, the bio-inspired robot sensor skin mimics the way a human finger experiences tension and compression as it slides along a surface or distinguishes among different textures. It measures this tactile information with similar precision and sensitivity as human skin, and could vastly improve the ability of robots to perform everything from surgical and industrial procedures to cleaning a kitchen.

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.